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Digital signal processing / Electronic circuits / Noise / Signal processing / Analog-to-digital converter / Analog circuits / Jitter / Sampling / Effective number of bits / Electronics / Electronic engineering / Electromagnetism


IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—I: REGULAR PAPERS, VOL. 60, NO. 9, SEPTEMBERWhy Analog-to-Information Converters Suffer in High-Bandwidth Sparse Signal Applications
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Document Date: 2015-03-16 22:21:07


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Canada / /

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Facility

Massachusetts Institute of Technology / /

IndustryTerm

energy costs / enabled alternative solutions / energy-efficiency / medical imaging / energy cost / lower power/energy cost / calibration algorithms / sparse signal applications / telecommunications / potential solution / signal-acquisition systems / cognitive radio applications / intelligent wireless communication protocol / advance technologies / relative energy efficiency / relative energy-efficiency / technology constants2 / energy/performance design space / electronic systems / low gain applications / fair hardware / reconstruction algorithm / energy savings / Energy evaluation results / energy / bandwidth applications / /

Organization

National Science Foundation / National Science and Engineering Research Council of Canada / Massachusetts Institute of Technology / Department of Electrical Engineering and Computer Science / /

Person

Fred Chen / Vladimir Stojanović / Matching Pursuit / Fabian Lim / S. R. Sonkusale / /

Position

Editor / MP / /

Technology

Lasso-modified LARS algorithm / ADC / intelligent wireless communication protocol / ADC system / using calibration algorithms / reconstruction algorithm / Digital Object Identifier / medical imaging / /

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